Shie Mannor

2008
49		Branislav Kveton, Jia Yuan Yu, Georgios Theocharous, Shie Mannor: Online Learning with Expert Advice and Finite-Horizon Constraints. AAAI 2008: 331-336
48	EE	Constantine Caramanis, Shie Mannor: Learning in the Limit with Adversarial Disturbances. COLT 2008: 467-478
47	EE	Jordan Frank, Shie Mannor, Doina Precup: Reinforcement learning in the presence of rare events. ICML 2008: 336-343
46	EE	Huan Xu, Shie Mannor, Constantine Caramanis: Robustness, Risk, and Regularization in Support Vector Machines CoRR abs/0803.3490: (2008)
2007
45		Branislav Kveton, Prashant Gandhi, Georgios Theocharous, Shie Mannor, Barbara Rosario, Nilesh Shah: Adaptive Timeout Policies for Fast Fine-Grained Power Management. AAAI 2007: 1795-1800
44		Chih-Han Yu, Shie Mannor, Georgios Theocharous, Avi Pfeffer: User Model and Utility Based Power Management. AAAI 2007: 1918-1919
43	EE	Gábor Lugosi, Shie Mannor, Gilles Stoltz: Strategies for Prediction Under Imperfect Monitoring. COLT 2007: 248-262
42	EE	Erick Delage, Shie Mannor: Percentile optimization in uncertain Markov decision processes with application to efficient exploration. ICML 2007: 225-232
41	EE	Saeed Sharifi Tehrani, Shie Mannor, Warren J. Gross: Survey of Stochastic Computation on Factor Graphs. ISMVL 2007: 54
40	EE	Fariba Heidari, Shie Mannor, Lorne Mason: Reinforcement Learning-Based Load Shared Sequential Routing. Networking 2007: 832-843
39	EE	Esteban Arcaute, Ramesh Johari, Shie Mannor: Network Formation: Bilateral Contracting and Myopic Dynamics. WINE 2007: 191-207
38	EE	Shie Mannor, Jeff S. Shamma: Multi-agent learning for engineers. Artif. Intell. 171(7): 417-422 (2007)
37	EE	Gábor Lugosi, Shie Mannor, Gilles Stoltz: Strategies for prediction under imperfect monitoring CoRR abs/math/0701419: (2007)
36	EE	Jia Yuan Yu, Shie Mannor: Efficiency of Market-Based Resource Allocation among Many Participants. IEEE Journal on Selected Areas in Communications 25(6): 1244-1259 (2007)
35	EE	Constantine Caramanis, Shie Mannor: An Inequality for Nearly Log-Concave Distributions With Applications to Learning. IEEE Transactions on Information Theory 53(3): 1043-1057 (2007)
34	EE	Shie Mannor, Jeff S. Shamma, Gürdal Arslan: Online calibrated forecasts: Memory efficiency versus universality for learning in games. Machine Learning 67(1-2): 77-115 (2007)
2006
33	EE	Shie Mannor, Nahum Shimkin: Online Learning with Variable Stage Duration. COLT 2006: 408-422
32	EE	Shie Mannor, John N. Tsitsiklis: Online Learning with Constraints. COLT 2006: 529-543
31	EE	Philipp W. Keller, Shie Mannor, Doina Precup: Automatic basis function construction for approximate dynamic programming and reinforcement learning. ICML 2006: 449-456
30	EE	Jia Yuan Yu, Shie Mannor: Asymptotics of Efficiency Loss in Competitive Market Mechanisms. INFOCOM 2006
29	EE	Huan Xu, Shie Mannor: The Robustness-Performance Tradeoff in Markov Decision Processes. NIPS 2006: 1537-1544
28	EE	Eyal Even-Dar, Shie Mannor, Yishay Mansour: Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems. Journal of Machine Learning Research 7: 1079-1105 (2006)
2005
27	EE	Yaakov Engel, Shie Mannor, Ron Meir: Reinforcement learning with Gaussian processes. ICML 2005: 201-208
26	EE	Shie Mannor, Dori Peleg, Reuven Y. Rubinstein: The cross entropy method for classification. ICML 2005: 561-568
25		Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-Kiat Soh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, Mohammad Ghavamzadeh: The Workshop Program at the Nineteenth National Conference on Artificial Intelligence. AI Magazine 26(1): 103-108 (2005)
24	EE	Ramesh Johari, Shie Mannor, John N. Tsitsiklis: Efficiency Loss in a Network Resource Allocation Game: The Case of Elastic Supply CoRR abs/cs/0506054: (2005)
2004
23	EE	Shie Mannor: Reinforcement Learning for Average Reward Zero-Sum Games. COLT 2004: 49-63
22	EE	Constantine Caramanis, Shie Mannor: An Inequality for Nearly Log-Concave Distributions with Applications to Learning. COLT 2004: 534-548
21	EE	Shie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis: Bias and variance in value function estimation. ICML 2004
20	EE	Shie Mannor, Ishai Menache, Amit Hoze, Uri Klein: Dynamic abstraction in reinforcement learning via clustering. ICML 2004
19	EE	Shie Mannor, Nahum Shimkin: A Geometric Approach to Multi-Criterion Reinforcement Learning. Journal of Machine Learning Research 5: 325-360 (2004)
18	EE	Shie Mannor, John N. Tsitsiklis: The Sample Complexity of Exploration in the Multi-Armed Bandit Problem. Journal of Machine Learning Research 5: 623-648 (2004)
2003
17	EE	Shie Mannor, John N. Tsitsiklis: Lower Bounds on the Sample Complexity of Exploration in the Multi-armed Bandit Problem. COLT 2003: 418-432
16	EE	Shie Mannor, Nahum Shimkin: On-Line Learning with Imperfect Monitoring. COLT 2003: 552-566
15		Yaakov Engel, Shie Mannor, Ron Meir: Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning. ICML 2003: 154-161
14		Eyal Even-Dar, Shie Mannor, Yishay Mansour: Action Elimination and Stopping Conditions for Reinforcement Learning. ICML 2003: 162-169
13		Shie Mannor, Reuven Y. Rubinstein, Yohai Gat: The Cross Entropy Method for Fast Policy Search. ICML 2003: 512-519
12	EE	Shie Mannor, Ron Meir, Tong Zhang: Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity. Journal of Machine Learning Research 4: 713-741 (2003)
11	EE	Shie Mannor, Nahum Shimkin: The Empirical Bayes Envelope and Regret Minimization in Competitive Markov Decision Processes. Math. Oper. Res. 28(2): 327-345 (2003)
2002
10	EE	Eyal Even-Dar, Shie Mannor, Yishay Mansour: PAC Bounds for Multi-armed Bandit and Markov Decision Processes. COLT 2002: 255-270
9	EE	Shie Mannor, Ron Meir, Tong Zhang: The Consistency of Greedy Algorithms for Classification. COLT 2002: 319-333
8	EE	Ishai Menache, Shie Mannor, Nahum Shimkin: Q-Cut - Dynamic Discovery of Sub-goals in Reinforcement Learning. ECML 2002: 295-306
7	EE	Yaakov Engel, Shie Mannor, Ron Meir: Sparse Online Greedy Support Vector Regression. ECML 2002: 84-96
6		Shie Mannor, Ron Meir: On the Existence of Linear Weak Learners and Applications to Boosting. Machine Learning 48(1-3): 219-251 (2002)
2001
5	EE	Shie Mannor, Nahum Shimkin: Adaptive Strategies and Regret Minimization in Arbitrarily Varying Markov Environments. COLT/EuroCOLT 2001: 128-142
4	EE	Shie Mannor, Ron Meir: Geometric Bounds for Generalization in Boosting. COLT/EuroCOLT 2001: 461-472
3		Yaakov Engel, Shie Mannor: Learning Embedded Maps of Markov Processes. ICML 2001: 138-145
2	EE	Shie Mannor, Nahum Shimkin: The Steering Approach for Multi-Criteria Reinforcement Learning. NIPS 2001: 1563-1570
2000
1		Shie Mannor, Ron Meir: Weak Learners and Improved Rates of Convergence in Boosting. NIPS 2000: 280-286

Coauthor Index

1	Sarabjot S. Anand (Sarab S. Anand)	[25]
2	Esteban Arcaute	[39]
3	Gürdal Arslan	[34]
4	Bettina Berendt	[25]
5	Piero P. Bonissone	[25]
6	Constantine Caramanis	[22] [35] [46] [48]
7	William Cheetham	[25]
8	Silvia Coradeschi	[25]
9	Daniel D. Corkill	[25]
10	Erick Delage	[42]
11	Frank Dignum (F. P. M. Dignum)	[25]
12	Virginia Dignum	[25]
13	Yaakov Engel	[3] [7] [15] [27]
14	Eyal Even-Dar	[10] [14] [28]
15	Daniela Pucci de Farias	[25]
16	Jordan Frank	[47]
17	Dan Fu	[25]
18	Prashant Gandhi	[45]
19	Yohai Gat	[13]
20	Mohammad Ghavamzadeh	[25]
21	Kai Goebel	[25]
22	Warren J. Gross	[41]
23	Hans W. Guesgen	[25]
24	Fariba Heidari	[40]
25	Andreas Hotho	[25]
26	Amit Hoze	[20]
27	Ramesh Johari	[24] [39]
28	Randolph M. Jones	[25]
29	Catholijn M. Jonker	[25]
30	Philipp W. Keller	[31]
31	Uri Klein	[20]
32	Branislav Kveton	[45] [49]
33	Gábor Lugosi	[37] [43]
34	Yishay Mansour	[10] [14] [28]
35	Lorne Mason	[40]
36	Ron Meir (Ronny Meir)	[1] [4] [6] [7] [9] [12] [15] [27]
37	Ishai Menache	[8] [20]
38	Bamshad Mobasher	[25]
39	Ion Muslea	[25]
40	Jeff Orkin	[25]
41	Dori Peleg	[26]
42	Avi Pfeffer	[44]
43	Doina Precup	[25] [31] [47]
44	Barbara Rosario	[45]
45	Michael T. Rosenstein	[25]
46	Reuven Y. Rubinstein	[13] [26]
47	Alessandro Saffiotti	[25]
48	Matthias Scheutz	[25]
49	Nilesh Shah	[45]
50	Jeff S. Shamma	[34] [38]
51	Nahum Shimkin	[2] [5] [8] [11] [16] [19] [33]
52	Duncan Simester	[21]
53	Leen-Kiat Soh	[25]
54	Gilles Stoltz	[37] [43]
55	Peng Sun	[21]
56	Saeed Sharifi Tehrani	[41]
57	Georgios Theocharous	[25] [44] [45] [49]
58	John N. Tsitsiklis	[17] [18] [21] [24] [32]
59	Robert E. Wray III	[25]
60	Huan Xu	[29] [46]
61	Chih-Han Yu	[44]
62	Jia Yuan Yu	[30] [36] [49]
63	Tong Zhang	[9] [12]

Colors in the list of coauthors